On the feasibility of distributed process mining in healthcare

R. Gatta, M. Vallati*, J. Lenkowicz, C. Masciocchi, Francesco Cellini, Luca Boldrini, C. F. Llatas, V. Valentini, A. Damiani

*Autore corrispondente per questo lavoro

Risultato della ricerca: Contributo in rivistaArticolo di conferenza

Abstract

Process mining is gaining significant importance in the healthcare domain, where the quality of services depends on the suitable and efficient execution of processes. A pivotal challenge for the application of process mining in the healthcare domain comes from the growing importance of multi-centric studies, where privacy-preserving techniques are strongly needed. In this paper, building on top of the well-known Alpha algorithm, we introduce a distributed process mining approach, that allows to overcome problems related to privacy and data being spread around. The introduced technique allows to perform process mining without sharing any patients-related information, thus ensuring privacy and maximizing the possibility of cooperation among hospitals.
Lingua originaleInglese
pagine (da-a)445-452
Numero di pagine8
RivistaLecture Notes in Computer Science
Volume11540
Numero di pubblicazioneN/A
DOI
Stato di pubblicazionePubblicato - 2019

All Science Journal Classification (ASJC) codes

  • Informatica Teorica
  • Informatica Generale

Keywords

  • Distributed learning
  • Healthcare
  • Process mining

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